Dataset statistics
| Number of variables | 8 |
|---|---|
| Number of observations | 32065 |
| Missing cells | 22385 |
| Missing cells (%) | 8.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 6.5 MiB |
| Average record size in memory | 211.5 B |
Variable types
| Categorical | 3 |
|---|---|
| Numeric | 5 |
Province/State has a high cardinality: 80 distinct values | High cardinality |
Country/Region has a high cardinality: 188 distinct values | High cardinality |
Date has a high cardinality: 121 distinct values | High cardinality |
Confirmed is highly correlated with Deaths and 1 other fields | High correlation |
Deaths is highly correlated with Confirmed and 1 other fields | High correlation |
Recovered is highly correlated with Confirmed and 1 other fields | High correlation |
Confirmed is highly correlated with Deaths and 1 other fields | High correlation |
Deaths is highly correlated with Confirmed and 1 other fields | High correlation |
Recovered is highly correlated with Confirmed and 1 other fields | High correlation |
Confirmed is highly correlated with Deaths and 1 other fields | High correlation |
Deaths is highly correlated with Confirmed and 1 other fields | High correlation |
Recovered is highly correlated with Confirmed and 1 other fields | High correlation |
Province/State is highly correlated with Lat and 2 other fields | High correlation |
Lat is highly correlated with Province/State and 1 other fields | High correlation |
Long is highly correlated with Province/State and 1 other fields | High correlation |
Confirmed is highly correlated with Deaths and 1 other fields | High correlation |
Deaths is highly correlated with Confirmed and 1 other fields | High correlation |
Recovered is highly correlated with Province/State and 2 other fields | High correlation |
Province/State has 22385 (69.8%) missing values | Missing |
Confirmed is highly skewed (γ1 = 22.83271239) | Skewed |
Province/State is uniformly distributed | Uniform |
Date is uniformly distributed | Uniform |
Lat has 363 (1.1%) zeros | Zeros |
Long has 363 (1.1%) zeros | Zeros |
Confirmed has 10302 (32.1%) zeros | Zeros |
Deaths has 17916 (55.9%) zeros | Zeros |
Recovered has 16088 (50.2%) zeros | Zeros |
Reproduction
| Analysis started | 2022-08-01 20:24:18.544844 |
|---|---|
| Analysis finished | 2022-08-01 20:26:22.282847 |
| Duration | 2 minutes and 3.74 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 80 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 22385 |
| Missing (%) | 69.8% |
| Memory size | 1.3 MiB |
| Ningxia | 121 |
|---|---|
| New Caledonia | 121 |
| Mayotte | 121 |
| Guadeloupe | 121 |
| French Polynesia | 121 |
| Other values (75) |
Length
| Max length | 28 |
|---|---|
| Median length | 24 |
| Mean length | 10.6375 |
| Min length | 5 |
Characters and Unicode
| Total characters | 102971 |
|---|---|
| Distinct characters | 54 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Australian Capital Territory |
|---|---|
| 2nd row | New South Wales |
| 3rd row | Northern Territory |
| 4th row | Queensland |
| 5th row | South Australia |
Common Values
| Value | Count | Frequency (%) |
| Ningxia | 121 | 0.4% |
| New Caledonia | 121 | 0.4% |
| Mayotte | 121 | 0.4% |
| Guadeloupe | 121 | 0.4% |
| French Polynesia | 121 | 0.4% |
| French Guiana | 121 | 0.4% |
| Greenland | 121 | 0.4% |
| Faroe Islands | 121 | 0.4% |
| Zhejiang | 121 | 0.4% |
| Yunnan | 121 | 0.4% |
| Other values (70) | 8470 | 26.4% |
| (Missing) | 22385 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| islands | 726 | 5.0% |
| new | 363 | 2.5% |
| and | 363 | 2.5% |
| territory | 242 | 1.7% |
| british | 242 | 1.7% |
| french | 242 | 1.7% |
| south | 242 | 1.7% |
| saint | 242 | 1.7% |
| australia | 242 | 1.7% |
| princess | 242 | 1.7% |
| Other values (94) | 11374 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 12221 | 11.9% |
| n | 11616 | 11.3% |
| i | 9196 | 8.9% |
| e | 6413 | 6.2% |
| r | 5929 | 5.8% |
| 4840 | 4.7% | |
| o | 4598 | 4.5% |
| s | 4598 | 4.5% |
| u | 4235 | 4.1% |
| t | 4235 | 4.1% |
| Other values (44) | 35090 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 83853 | |
| Uppercase Letter | 14036 | 13.6% |
| Space Separator | 4840 | 4.7% |
| Close Punctuation | 121 | 0.1% |
| Open Punctuation | 121 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 12221 | |
| n | 11616 | |
| i | 9196 | |
| e | 6413 | 7.6% |
| r | 5929 | 7.1% |
| o | 4598 | 5.5% |
| s | 4598 | 5.5% |
| u | 4235 | 5.1% |
| t | 4235 | 5.1% |
| l | 3993 | 4.8% |
| Other values (16) | 16819 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 1573 | |
| M | 1331 | 9.5% |
| I | 1089 | 7.8% |
| G | 1089 | 7.8% |
| N | 968 | 6.9% |
| C | 968 | 6.9% |
| T | 847 | 6.0% |
| H | 847 | 6.0% |
| A | 847 | 6.0% |
| B | 726 | 5.2% |
| Other values (15) | 3751 |
Space Separator
| Value | Count | Frequency (%) |
| 4840 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 121 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 121 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 97889 | |
| Common | 5082 | 4.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 12221 | 12.5% |
| n | 11616 | 11.9% |
| i | 9196 | 9.4% |
| e | 6413 | 6.6% |
| r | 5929 | 6.1% |
| o | 4598 | 4.7% |
| s | 4598 | 4.7% |
| u | 4235 | 4.3% |
| t | 4235 | 4.3% |
| l | 3993 | 4.1% |
| Other values (41) | 30855 |
Common
| Value | Count | Frequency (%) |
| 4840 | ||
| ) | 121 | 2.4% |
| ( | 121 | 2.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 102971 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 12221 | 11.9% |
| n | 11616 | 11.3% |
| i | 9196 | 8.9% |
| e | 6413 | 6.2% |
| r | 5929 | 5.8% |
| 4840 | 4.7% | |
| o | 4598 | 4.5% |
| s | 4598 | 4.5% |
| u | 4235 | 4.1% |
| t | 4235 | 4.1% |
| Other values (44) | 35090 |
| Distinct | 188 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| China | |
|---|---|
| Canada | 1694 |
| United Kingdom | 1331 |
| France | 1331 |
| Australia | 968 |
| Other values (183) |
Length
| Max length | 32 |
|---|---|
| Median length | 22 |
| Mean length | 8.083018868 |
| Min length | 2 |
Characters and Unicode
| Total characters | 259182 |
|---|---|
| Distinct characters | 57 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Albania |
| 3rd row | Algeria |
| 4th row | Andorra |
| 5th row | Angola |
Common Values
| Value | Count | Frequency (%) |
| China | 3993 | 12.5% |
| Canada | 1694 | 5.3% |
| United Kingdom | 1331 | 4.2% |
| France | 1331 | 4.2% |
| Australia | 968 | 3.0% |
| Netherlands | 484 | 1.5% |
| Denmark | 363 | 1.1% |
| Afghanistan | 121 | 0.4% |
| Russia | 121 | 0.4% |
| Rwanda | 121 | 0.4% |
| Other values (178) | 21538 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| china | 3993 | 10.2% |
| canada | 1694 | 4.3% |
| united | 1452 | 3.7% |
| kingdom | 1331 | 3.4% |
| france | 1331 | 3.4% |
| australia | 968 | 2.5% |
| and | 847 | 2.2% |
| netherlands | 484 | 1.2% |
| denmark | 363 | 0.9% |
| guinea | 363 | 0.9% |
| Other values (210) | 26378 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 42350 | |
| n | 25289 | 9.8% |
| i | 24321 | 9.4% |
| e | 16698 | 6.4% |
| r | 13310 | 5.1% |
| o | 11495 | 4.4% |
| d | 10406 | 4.0% |
| t | 9438 | 3.6% |
| u | 7623 | 2.9% |
| C | 7623 | 2.9% |
| Other values (47) | 90629 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 212355 | |
| Uppercase Letter | 38720 | 14.9% |
| Space Separator | 7139 | 2.8% |
| Dash Punctuation | 242 | 0.1% |
| Open Punctuation | 242 | 0.1% |
| Close Punctuation | 242 | 0.1% |
| Other Punctuation | 242 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 42350 | |
| n | 25289 | |
| i | 24321 | |
| e | 16698 | 7.9% |
| r | 13310 | 6.3% |
| o | 11495 | 5.4% |
| d | 10406 | 4.9% |
| t | 9438 | 4.4% |
| u | 7623 | 3.6% |
| h | 7381 | 3.5% |
| Other values (16) | 44044 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 7623 | |
| S | 3630 | 9.4% |
| B | 2662 | 6.9% |
| A | 2662 | 6.9% |
| K | 2299 | 5.9% |
| M | 2178 | 5.6% |
| U | 2057 | 5.3% |
| G | 1815 | 4.7% |
| N | 1694 | 4.4% |
| F | 1694 | 4.4% |
| Other values (15) | 10406 |
Other Punctuation
| Value | Count | Frequency (%) |
| * | 121 | |
| ' | 121 |
Space Separator
| Value | Count | Frequency (%) |
| 7139 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 242 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 242 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 242 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 251075 | |
| Common | 8107 | 3.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 42350 | |
| n | 25289 | 10.1% |
| i | 24321 | 9.7% |
| e | 16698 | 6.7% |
| r | 13310 | 5.3% |
| o | 11495 | 4.6% |
| d | 10406 | 4.1% |
| t | 9438 | 3.8% |
| u | 7623 | 3.0% |
| C | 7623 | 3.0% |
| Other values (41) | 82522 |
Common
| Value | Count | Frequency (%) |
| 7139 | ||
| - | 242 | 3.0% |
| ( | 242 | 3.0% |
| ) | 242 | 3.0% |
| * | 121 | 1.5% |
| ' | 121 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 259182 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 42350 | |
| n | 25289 | 9.8% |
| i | 24321 | 9.4% |
| e | 16698 | 6.4% |
| r | 13310 | 5.1% |
| o | 11495 | 4.4% |
| d | 10406 | 4.0% |
| t | 9438 | 3.6% |
| u | 7623 | 2.9% |
| C | 7623 | 2.9% |
| Other values (47) | 90629 |
| Distinct | 256 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.18189118 |
| Minimum | -51.7963 |
|---|---|
| Maximum | 71.7069 |
| Zeros | 363 |
| Zeros (%) | 1.1% |
| Negative | 5687 |
| Negative (%) | 17.7% |
| Memory size | 250.6 KiB |
Quantile statistics
| Minimum | -51.7963 |
|---|---|
| 5-th percentile | -28.0167 |
| Q1 | 6.877 |
| median | 23.6345 |
| Q3 | 41.1533 |
| 95-th percentile | 55.1694 |
| Maximum | 71.7069 |
| Range | 123.5032 |
| Interquartile range (IQR) | 34.2763 |
Descriptive statistics
| Standard deviation | 24.90426049 |
|---|---|
| Coefficient of variation (CV) | 1.175733568 |
| Kurtosis | -0.1946022785 |
| Mean | 21.18189118 |
| Median Absolute Deviation (MAD) | 17.2064 |
| Skewness | -0.545288114 |
| Sum | 679197.3407 |
| Variance | 620.2221908 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 363 | 1.1% |
| 33 | 242 | 0.8% |
| 13.1939 | 242 | 0.8% |
| 36 | 242 | 0.8% |
| -4.0383 | 242 | 0.8% |
| 24 | 242 | 0.8% |
| 52.9399 | 242 | 0.8% |
| 21 | 242 | 0.8% |
| 46.8852 | 121 | 0.4% |
| 28.1667 | 121 | 0.4% |
| Other values (246) | 29766 |
| Value | Count | Frequency (%) |
| -51.7963 | 121 | |
| -41.4545 | 121 | |
| -40.9006 | 121 | |
| -38.4161 | 121 | |
| -37.8136 | 121 | |
| -35.6751 | 121 | |
| -35.4735 | 121 | |
| -34.9285 | 121 | |
| -33.8688 | 121 | |
| -32.5228 | 121 |
| Value | Count | Frequency (%) |
| 71.7069 | 121 | |
| 64.9631 | 121 | |
| 64.8255 | 121 | |
| 64.2823 | 121 | |
| 64 | 121 | |
| 63 | 121 | |
| 61.8926 | 121 | |
| 60.472 | 121 | |
| 60 | 121 | |
| 58.5953 | 121 |
| Distinct | 259 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.88119533 |
| Minimum | -135 |
|---|---|
| Maximum | 178.065 |
| Zeros | 363 |
| Zeros (%) | 1.1% |
| Negative | 10406 |
| Negative (%) | 32.5% |
| Memory size | 250.6 KiB |
Quantile statistics
| Minimum | -135 |
|---|---|
| 5-th percentile | -85.2072 |
| Q1 | -15.3101 |
| median | 21.0059 |
| Q3 | 78 |
| 95-th percentile | 128 |
| Maximum | 178.065 |
| Range | 313.065 |
| Interquartile range (IQR) | 93.3101 |
Descriptive statistics
| Standard deviation | 70.24552349 |
|---|---|
| Coefficient of variation (CV) | 3.070011093 |
| Kurtosis | -0.7784427299 |
| Mean | 22.88119533 |
| Median Absolute Deviation (MAD) | 52.2148 |
| Skewness | -0.007872807144 |
| Sum | 733685.5282 |
| Variance | 4934.43357 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 363 | 1.1% |
| 21.7587 | 242 | 0.8% |
| 30 | 242 | 0.8% |
| -59.5432 | 242 | 0.8% |
| 9 | 242 | 0.8% |
| 8.6753 | 121 | 0.4% |
| 57 | 121 | 0.4% |
| 8.4689 | 121 | 0.4% |
| 21.7453 | 121 | 0.4% |
| 8.0817 | 121 | 0.4% |
| Other values (249) | 30129 |
| Value | Count | Frequency (%) |
| -135 | 121 | |
| -124.8457 | 121 | |
| -123.1207 | 121 | |
| -122.6655 | 121 | |
| -116.5765 | 121 | |
| -106.4509 | 121 | |
| -102.5528 | 121 | |
| -98.8139 | 121 | |
| -95.7129 | 121 | |
| -90.2308 | 121 |
| Value | Count | Frequency (%) |
| 178.065 | 121 | |
| 174.886 | 121 | |
| 165.618 | 121 | |
| 153.4 | 121 | |
| 151.2093 | 121 | |
| 149.4068 | 121 | |
| 149.0124 | 121 | |
| 145.9707 | 121 | |
| 144.9631 | 121 | |
| 143.9555 | 121 |
| Distinct | 121 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.9 MiB |
| 1/22/20 | 265 |
|---|---|
| 3/23/20 | 265 |
| 4/20/20 | 265 |
| 4/19/20 | 265 |
| 4/18/20 | 265 |
| Other values (116) |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 6.702479339 |
| Min length | 6 |
Characters and Unicode
| Total characters | 214915 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1/22/20 |
|---|---|
| 2nd row | 1/22/20 |
| 3rd row | 1/22/20 |
| 4th row | 1/22/20 |
| 5th row | 1/22/20 |
Common Values
| Value | Count | Frequency (%) |
| 1/22/20 | 265 | 0.8% |
| 3/23/20 | 265 | 0.8% |
| 4/20/20 | 265 | 0.8% |
| 4/19/20 | 265 | 0.8% |
| 4/18/20 | 265 | 0.8% |
| 4/17/20 | 265 | 0.8% |
| 4/16/20 | 265 | 0.8% |
| 4/15/20 | 265 | 0.8% |
| 4/14/20 | 265 | 0.8% |
| 4/13/20 | 265 | 0.8% |
| Other values (111) | 29415 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1/22/20 | 265 | 0.8% |
| 1/23/20 | 265 | 0.8% |
| 1/24/20 | 265 | 0.8% |
| 1/25/20 | 265 | 0.8% |
| 1/26/20 | 265 | 0.8% |
| 1/27/20 | 265 | 0.8% |
| 1/28/20 | 265 | 0.8% |
| 1/29/20 | 265 | 0.8% |
| 1/30/20 | 265 | 0.8% |
| 1/31/20 | 265 | 0.8% |
| Other values (111) | 29415 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 64130 | |
| 2 | 53530 | |
| 0 | 34980 | |
| 1 | 16960 | 7.9% |
| 3 | 12720 | 5.9% |
| 4 | 11130 | 5.2% |
| 5 | 8745 | 4.1% |
| 9 | 3180 | 1.5% |
| 8 | 3180 | 1.5% |
| 7 | 3180 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 150785 | |
| Other Punctuation | 64130 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 53530 | |
| 0 | 34980 | |
| 1 | 16960 | 11.2% |
| 3 | 12720 | 8.4% |
| 4 | 11130 | 7.4% |
| 5 | 8745 | 5.8% |
| 9 | 3180 | 2.1% |
| 8 | 3180 | 2.1% |
| 7 | 3180 | 2.1% |
| 6 | 3180 | 2.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 64130 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 214915 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| / | 64130 | |
| 2 | 53530 | |
| 0 | 34980 | |
| 1 | 16960 | 7.9% |
| 3 | 12720 | 5.9% |
| 4 | 11130 | 5.2% |
| 5 | 8745 | 4.1% |
| 9 | 3180 | 1.5% |
| 8 | 3180 | 1.5% |
| 7 | 3180 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 214915 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 64130 | |
| 2 | 53530 | |
| 0 | 34980 | |
| 1 | 16960 | 7.9% |
| 3 | 12720 | 5.9% |
| 4 | 11130 | 5.2% |
| 5 | 8745 | 4.1% |
| 9 | 3180 | 1.5% |
| 8 | 3180 | 1.5% |
| 7 | 3180 | 1.5% |
Confirmed
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONSKEWEDZEROS| Distinct | 5034 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5044.945579 |
| Minimum | 0 |
|---|---|
| Maximum | 1577147 |
| Zeros | 10302 |
| Zeros (%) | 32.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 250.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 21 |
| Q3 | 460 |
| 95-th percentile | 12288 |
| Maximum | 1577147 |
| Range | 1577147 |
| Interquartile range (IQR) | 460 |
Descriptive statistics
| Standard deviation | 44878.33535 |
|---|---|
| Coefficient of variation (CV) | 8.89570257 |
| Kurtosis | 637.011566 |
| Mean | 5044.945579 |
| Median Absolute Deviation (MAD) | 21 |
| Skewness | 22.83271239 |
| Sum | 161766180 |
| Variance | 2014064984 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 10302 | |
| 1 | 1116 | 3.5% |
| 3 | 466 | 1.5% |
| 2 | 426 | 1.3% |
| 18 | 335 | 1.0% |
| 11 | 332 | 1.0% |
| 4 | 305 | 1.0% |
| 6 | 299 | 0.9% |
| 5 | 297 | 0.9% |
| 16 | 256 | 0.8% |
| Other values (5024) | 17931 |
| Value | Count | Frequency (%) |
| 0 | 10302 | |
| 1 | 1116 | 3.5% |
| 2 | 426 | 1.3% |
| 3 | 466 | 1.5% |
| 4 | 305 | 1.0% |
| 5 | 297 | 0.9% |
| 6 | 299 | 0.9% |
| 7 | 228 | 0.7% |
| 8 | 236 | 0.7% |
| 9 | 217 | 0.7% |
| Value | Count | Frequency (%) |
| 1577147 | 1 | |
| 1551853 | 1 | |
| 1528568 | 1 | |
| 1508308 | 1 | |
| 1486757 | 1 | |
| 1467820 | 1 | |
| 1442824 | 1 | |
| 1417774 | 1 | |
| 1390406 | 1 | |
| 1369376 | 1 |
| Distinct | 1634 |
|---|---|
| Distinct (%) | 5.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 335.5694995 |
| Minimum | 0 |
|---|---|
| Maximum | 94702 |
| Zeros | 17916 |
| Zeros (%) | 55.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 250.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 6 |
| 95-th percentile | 363.8 |
| Maximum | 94702 |
| Range | 94702 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3095.690148 |
|---|---|
| Coefficient of variation (CV) | 9.225183318 |
| Kurtosis | 378.8853571 |
| Mean | 335.5694995 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 17.17990218 |
| Sum | 10760036 |
| Variance | 9583297.495 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 17916 | |
| 1 | 2326 | 7.3% |
| 2 | 1286 | 4.0% |
| 3 | 1079 | 3.4% |
| 6 | 779 | 2.4% |
| 4 | 612 | 1.9% |
| 7 | 485 | 1.5% |
| 8 | 415 | 1.3% |
| 5 | 337 | 1.1% |
| 9 | 305 | 1.0% |
| Other values (1624) | 6525 | 20.3% |
| Value | Count | Frequency (%) |
| 0 | 17916 | |
| 1 | 2326 | 7.3% |
| 2 | 1286 | 4.0% |
| 3 | 1079 | 3.4% |
| 4 | 612 | 1.9% |
| 5 | 337 | 1.1% |
| 6 | 779 | 2.4% |
| 7 | 485 | 1.5% |
| 8 | 415 | 1.3% |
| 9 | 305 | 1.0% |
| Value | Count | Frequency (%) |
| 94702 | 1 | |
| 93439 | 1 | |
| 91921 | 1 | |
| 90347 | 1 | |
| 89562 | 1 | |
| 88754 | 1 | |
| 87530 | 1 | |
| 85898 | 1 | |
| 84119 | 1 | |
| 82356 | 1 |
Recovered
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 2978 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1525.388056 |
| Minimum | 0 |
|---|---|
| Maximum | 298418 |
| Zeros | 16088 |
| Zeros (%) | 50.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 250.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 92 |
| 95-th percentile | 2507.8 |
| Maximum | 298418 |
| Range | 298418 |
| Interquartile range (IQR) | 92 |
Descriptive statistics
| Standard deviation | 10978.55868 |
|---|---|
| Coefficient of variation (CV) | 7.197223449 |
| Kurtosis | 207.9480819 |
| Mean | 1525.388056 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 12.64965022 |
| Sum | 48911568 |
| Variance | 120528750.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 16088 | |
| 1 | 1105 | 3.4% |
| 2 | 613 | 1.9% |
| 4 | 365 | 1.1% |
| 3 | 357 | 1.1% |
| 5 | 275 | 0.9% |
| 8 | 269 | 0.8% |
| 6 | 252 | 0.8% |
| 10 | 231 | 0.7% |
| 7 | 217 | 0.7% |
| Other values (2968) | 12293 |
| Value | Count | Frequency (%) |
| 0 | 16088 | |
| 1 | 1105 | 3.4% |
| 2 | 613 | 1.9% |
| 3 | 357 | 1.1% |
| 4 | 365 | 1.1% |
| 5 | 275 | 0.9% |
| 6 | 252 | 0.8% |
| 7 | 217 | 0.7% |
| 8 | 269 | 0.8% |
| 9 | 153 | 0.5% |
| Value | Count | Frequency (%) |
| 298418 | 1 | |
| 294312 | 1 | |
| 289392 | 1 | |
| 283178 | 1 | |
| 272265 | 1 | |
| 268376 | 1 | |
| 250747 | 1 | |
| 246414 | 1 | |
| 243430 | 1 | |
| 232733 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Province/State | Country/Region | Lat | Long | Date | Confirmed | Deaths | Recovered | |
|---|---|---|---|---|---|---|---|---|
| 0 | NaN | Afghanistan | 33.0000 | 65.0000 | 1/22/20 | 0 | 0 | 0 |
| 1 | NaN | Albania | 41.1533 | 20.1683 | 1/22/20 | 0 | 0 | 0 |
| 2 | NaN | Algeria | 28.0339 | 1.6596 | 1/22/20 | 0 | 0 | 0 |
| 3 | NaN | Andorra | 42.5063 | 1.5218 | 1/22/20 | 0 | 0 | 0 |
| 4 | NaN | Angola | -11.2027 | 17.8739 | 1/22/20 | 0 | 0 | 0 |
| 5 | NaN | Antigua and Barbuda | 17.0608 | -61.7964 | 1/22/20 | 0 | 0 | 0 |
| 6 | NaN | Argentina | -38.4161 | -63.6167 | 1/22/20 | 0 | 0 | 0 |
| 7 | NaN | Armenia | 40.0691 | 45.0382 | 1/22/20 | 0 | 0 | 0 |
| 8 | Australian Capital Territory | Australia | -35.4735 | 149.0124 | 1/22/20 | 0 | 0 | 0 |
| 9 | New South Wales | Australia | -33.8688 | 151.2093 | 1/22/20 | 0 | 0 | 0 |
Last rows
| Province/State | Country/Region | Lat | Long | Date | Confirmed | Deaths | Recovered | |
|---|---|---|---|---|---|---|---|---|
| 32055 | NaN | Malawi | -13.254308 | 34.301525 | 5/21/20 | 72 | 3 | 27 |
| 32056 | Falkland Islands (Malvinas) | United Kingdom | -51.796300 | -59.523600 | 5/21/20 | 13 | 0 | 13 |
| 32057 | Saint Pierre and Miquelon | France | 46.885200 | -56.315900 | 5/21/20 | 1 | 0 | 1 |
| 32058 | NaN | South Sudan | 6.877000 | 31.307000 | 5/21/20 | 481 | 4 | 0 |
| 32059 | NaN | Western Sahara | 24.215500 | -12.885800 | 5/21/20 | 6 | 0 | 6 |
| 32060 | NaN | Sao Tome and Principe | 0.186360 | 6.613081 | 5/21/20 | 251 | 8 | 4 |
| 32061 | NaN | Yemen | 15.552727 | 48.516388 | 5/21/20 | 197 | 33 | 0 |
| 32062 | NaN | Comoros | -11.645500 | 43.333300 | 5/21/20 | 34 | 1 | 8 |
| 32063 | NaN | Tajikistan | 38.861034 | 71.276093 | 5/21/20 | 2350 | 44 | 0 |
| 32064 | NaN | Lesotho | -29.609988 | 28.233608 | 5/21/20 | 1 | 0 | 0 |